On Dynamic Node Cooperation Strategy Design for Energy Efficiency in Hierarchical Federated Learning

In Hierarchical Federated Learning (HFL), opportunistic communication provides opportunities for node cooperation. In this work, we optimize the node cooperation strategy using opportunistic communization with the objective to minimize energy cost under the delay constraint. We design an online node...

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Main Authors: Zhuo Li, Sailan Zou, Xin Chen
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Electronics
Subjects:
Online Access:https://www.mdpi.com/2079-9292/12/11/2362
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author Zhuo Li
Sailan Zou
Xin Chen
author_facet Zhuo Li
Sailan Zou
Xin Chen
author_sort Zhuo Li
collection DOAJ
description In Hierarchical Federated Learning (HFL), opportunistic communication provides opportunities for node cooperation. In this work, we optimize the node cooperation strategy using opportunistic communization with the objective to minimize energy cost under the delay constraint. We design an online node cooperation strategy (OSRN) based on the optimal stopping theory. Through theoretical analysis, we prove the NP-hardness of the problem investigated and the competition ratio that can be achieved by OSRN. We conduct thorough simulation experiments and find that the proposed algorithm outperforms the random selection algorithm SNNR with 22.04% reduction in energy cost. It is also observed that the energy cost can be reduced by 20.20% and 13.54%, respectively, compared with the existing methods CFL and THF.
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spelling doaj.art-810e61ffcd1f46c1b05edda4ca1246f12023-11-18T07:43:54ZengMDPI AGElectronics2079-92922023-05-011211236210.3390/electronics12112362On Dynamic Node Cooperation Strategy Design for Energy Efficiency in Hierarchical Federated LearningZhuo Li0Sailan Zou1Xin Chen2Beijing Key Laboratory of Internet Culture and Digital Dissemination Research, Beijing Information Science and Technology University, Beijing 100101, ChinaBeijing Key Laboratory of Internet Culture and Digital Dissemination Research, Beijing Information Science and Technology University, Beijing 100101, ChinaSchool of Computer Science, Beijing Information Science and Technology University, Beijing 100101, ChinaIn Hierarchical Federated Learning (HFL), opportunistic communication provides opportunities for node cooperation. In this work, we optimize the node cooperation strategy using opportunistic communization with the objective to minimize energy cost under the delay constraint. We design an online node cooperation strategy (OSRN) based on the optimal stopping theory. Through theoretical analysis, we prove the NP-hardness of the problem investigated and the competition ratio that can be achieved by OSRN. We conduct thorough simulation experiments and find that the proposed algorithm outperforms the random selection algorithm SNNR with 22.04% reduction in energy cost. It is also observed that the energy cost can be reduced by 20.20% and 13.54%, respectively, compared with the existing methods CFL and THF.https://www.mdpi.com/2079-9292/12/11/2362Hierarchical Federated Learning (HFL)opportunistic communicationnode cooperation
spellingShingle Zhuo Li
Sailan Zou
Xin Chen
On Dynamic Node Cooperation Strategy Design for Energy Efficiency in Hierarchical Federated Learning
Electronics
Hierarchical Federated Learning (HFL)
opportunistic communication
node cooperation
title On Dynamic Node Cooperation Strategy Design for Energy Efficiency in Hierarchical Federated Learning
title_full On Dynamic Node Cooperation Strategy Design for Energy Efficiency in Hierarchical Federated Learning
title_fullStr On Dynamic Node Cooperation Strategy Design for Energy Efficiency in Hierarchical Federated Learning
title_full_unstemmed On Dynamic Node Cooperation Strategy Design for Energy Efficiency in Hierarchical Federated Learning
title_short On Dynamic Node Cooperation Strategy Design for Energy Efficiency in Hierarchical Federated Learning
title_sort on dynamic node cooperation strategy design for energy efficiency in hierarchical federated learning
topic Hierarchical Federated Learning (HFL)
opportunistic communication
node cooperation
url https://www.mdpi.com/2079-9292/12/11/2362
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